Director, Data Operations

Who We Are

Sirius

XM and its brands (Pandora, Sirius

XM Media, Ads Wizz, Simplecast, and Sirius

XM Connect) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad‑supported audio entertainment experience for listeners -- in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are.

This is the place where a diverse group of emerging talent and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically‑acclaimed, industry‑leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing Sirius

XM’s vision to life every day.

Sirius

XM Media is the gateway for marketers to the largest digital audio advertising ecosystem in North America. As the combined advertising revenue organization of Sirius XM Holdings Inc., Sirius

XM Media spans across leading owned and operated audio platforms Pandora and Sirius

XM; innovative ad tech solutions powered by Ads Wizz; sonic creative consultancy Studio Resonate; and an extended content network featuring exclusive monetization agreements with Audiochuck, NBCUniversal, Sound Cloud, and many more. Reaching more than 150 million listeners each month, Sirius

XM Media delivers audiences the tailored brand experiences they crave while putting creators first, making it easy for every marketer to produce, plan, buy and measure across its entire audio universe.

As the Director of Data Operations, you will lead a high-performing team of Technical Analysts and Data Ops Analysts responsible for enabling data‑driven decisions, maintaining robust data pipelines, and aligning technology with business strategy. Your team will be responsible for delivering clean, governed, and performant data models and semantic layers on Snowflake that support business and product KPIs. Your work will directly influence how the organization measures success and drives outcomes.

• Manage a team of senior and mid‑level data operations analysts, providing technical guidance, mentorship, and performance management.
• Contribute to talent growth and team development, recruiting and mentoring future data operations and analytics professionals.
• Align technical execution with the product roadmap and vision, ensuring KPI metrics and requirements are well‑defined and actionable.
• Work across a wide range of enterprise data tools and platforms, leveraging transformation technologies like DBT and visualization tools such as Looker and Tableau.
• Oversee implementation and scaling of the semantic layer platform, working cross‑functionally to deliver trusted and accessible data assets.
• Partner with data engineering, product, and analytic teams to ensure solution designs meet evolving business needs and technical scalability.
• Prioritize team workload across projects, balancing tactical delivery with long‑term systems and data platform evolution.
• Establish and enforce technical best practices around dbt, testing frameworks, CI/CD, and Git workflows.
• Review and guide the development of data pipeline requirement documentation, process models, and architectural recommendations.
• Manage and analyze large‑scale data volumes (1+ PB) across complex ecosystems that power streaming, podcasting, satellite, publisher, and advertiser use cases.

• Lead, coach, and develop high‑performing teams to foster career growth and professional development.
• Provide constructive feedback, conduct performance reviews, and guide team members in setting and achieving goals.
• Build and maintain an inclusive, collaborative team culture that encourages innovation and accountability.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 10+ years relevant experience in data…